Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

Search paper metadata (including unsummarized papers)

13,141 to 13,200 of 20,454

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang +3
cs.LGcs.SIstat.MLarXiv:1911.07323v12019
Locally Weighted Ensemble Clustering
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
cs.LGarXiv:1605.05011v32016
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
Tairan He, Zhengyi Luo, Xialin He +6
cs.ROcs.CVcs.LGarXiv:2406.08858v12024
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Prasad Bhandari, Amara Naseer, Leon Moonen
cs.SEcs.AIcs.CRarXiv:2107.08760v12021
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +2
cs.CVcs.LGcs.NEarXiv:1511.06314v12015
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari, Hanie Sedghi, Olga Saukh +1
cs.LGarXiv:2110.06296v22021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis, Natasha Jaques, Eugene Vinitsky +4
cs.LGcs.AIcs.MAarXiv:2012.02096v22020
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour, Ali Jadbabaie
math.OCcs.DCcs.LGarXiv:1609.02845v12016
Structured sparsity through convex optimization
Francis Bach, Rodolphe Jenatton, Julien Mairal +1
cs.LGstat.MLarXiv:1109.2397v22011
Physics-Informed Neural Networks for Power Systems
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
eess.SYcs.LGeess.SParXiv:1911.03737v32019
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
Md Manjurul Ahsan, Zahed Siddique
cs.LGarXiv:2112.06459v12021
Fuzz4All: Universal Fuzzing with Large Language Models
Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian +2
cs.SEcs.LGarXiv:2308.04748v32023
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie +4
cs.LGcs.AIarXiv:2409.16040v42024
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck, Gholamreza Haffari, Trevor Cohn
cs.CLcs.LGarXiv:1806.09835v12018
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li, Ju Hu, Yang Wen +5
cs.CVcs.AIcs.LGarXiv:2212.08059v22022
Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1206.4617v12012
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
cs.LGcs.CRstat.MLarXiv:2011.11660v32020
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013
Neural Radiance Flow for 4D View Synthesis and Video Processing
Yilun Du, Yinan Zhang, Hong-Xing Yu +2
cs.CVcs.LGcs.ROarXiv:2012.09790v22020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka
cs.ROcs.CVcs.LGarXiv:2001.08726v32020
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
cs.AIcs.LGphysics.ao-pharXiv:2304.02948v12023
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Siyuan Liang, Hao Wu
cs.CVcs.LGeess.SParXiv:2205.14942v12022
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang, Guiguang Ding, Jungong Han
cs.CVcs.LGstat.MLarXiv:2001.01536v32020
Sobolev Training for Neural Networks
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg +2
cs.LGarXiv:1706.04859v32017
Deep learning: a statistical viewpoint
Peter L. Bartlett, Andrea Montanari, Alexander Rakhlin
math.STcs.LGstat.MLarXiv:2103.09177v12021
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona
stat.MLcs.LGmath.OCarXiv:1805.08114v32018
WikiHow: A Large Scale Text Summarization Dataset
Mahnaz Koupaee, William Yang Wang
cs.CLcs.IRcs.LGarXiv:1810.09305v12018
What graph neural networks cannot learn: depth vs width
Andreas Loukas
cs.LGstat.MLarXiv:1907.03199v22019
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Yu Dai, Jianxun Zhang +1
eess.IVcs.CVcs.LGarXiv:2204.12077v32022
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura +3
cs.LGeess.SPstat.MLarXiv:2006.06224v22020
An exact mapping between the Variational Renormalization Group and Deep Learning
Pankaj Mehta, David J. Schwab
stat.MLcond-mat.stat-mechcs.LGarXiv:1410.3831v12014
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami, Vahid Mirjalili, Alvis Fong +2
cs.LGeess.IVstat.MLarXiv:1904.07577v12019
Dual Discriminator Generative Adversarial Nets
Tu Dinh Nguyen, Trung Le, Hung Vu +1
cs.LGstat.MLarXiv:1709.03831v12017
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang +4
cs.LGcs.SIarXiv:2103.03212v22021
Label-Free Concept Bottleneck Models
Tuomas Oikarinen, Subhro Das, Lam M. Nguyen +1
cs.LGcs.CVarXiv:2304.06129v22023
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao, Edward Grefenstette, Phil Blunsom
cs.CLcs.AIcs.IRarXiv:1706.00359v22017
Physics informed deep learning for computational elastodynamics without labeled data
Chengping Rao, Hao Sun, Yang Liu
math.NAcs.AIcs.CEarXiv:2006.08472v12020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi +2
cs.LGcs.NEcs.SIarXiv:2005.03675v32020
An introduction to domain adaptation and transfer learning
Wouter M. Kouw, Marco Loog
cs.LGcs.CVstat.MLarXiv:1812.11806v22018
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
cs.CVcs.LGarXiv:2308.06394v32023
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
cs.CVcs.AIcs.LGarXiv:2012.14036v12020
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato +1
cs.LGcs.CVstat.MLarXiv:1811.09716v12018
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang +2
cs.LGcs.AIcs.CLarXiv:2306.04637v22023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang +17
cs.SDcs.AIcs.CLarXiv:2306.00107v52023
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner +2
cs.LGeess.SPstat.MLarXiv:1910.11162v12019
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao +3
cs.CLcs.LGarXiv:2310.07641v22023
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu, Huakun Luo, Haowen Wang +2
cs.LGmath.NAarXiv:2402.02366v22024
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen +3
cs.SDcs.CLcs.LGarXiv:1705.10874v32017
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Yang Liu, Weixing Chen, Yongjie Bai +4
cs.CVcs.AIcs.LGarXiv:2407.06886v82024
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
eess.SPcs.LGarXiv:2103.04505v42021
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Bin Shi, Simon S. Du, Michael I. Jordan +1
math.OCcs.LGmath.CAarXiv:1810.08907v32018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi, Ranya Almohsen, Donald A Adjeroh +1
cs.CVcs.LGarXiv:1807.02588v22018
Neural Networks with Few Multiplications
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic +1
cs.LGcs.NEarXiv:1510.03009v32015
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D. Co-Reyes, Rishabh Agarwal +38
cs.LGarXiv:2312.06585v42023
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici, Anjan Dutta, Patrick Forré +2
cs.LGstat.MLarXiv:2002.07017v22020
Underdamped Langevin MCMC: A non-asymptotic analysis
Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett +1
stat.MLcs.LGstat.COarXiv:1707.03663v72017
Learning without Concentration
Shahar Mendelson
cs.LGstat.MLarXiv:1401.0304v22014
Learning Sparse Nonparametric DAGs
Xun Zheng, Chen Dan, Bryon Aragam +2
stat.MLcs.LGstat.MEarXiv:1909.13189v22019
First-order Methods for Geodesically Convex Optimization
Hongyi Zhang, Suvrit Sra
math.OCcs.LGstat.MLarXiv:1602.06053v12016

Machine Learning

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Locally Weighted Ensemble Clustering

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Distributed Online Optimization in Dynamic Environments Using Mirror Descent

Structured sparsity through convex optimization

Physics-Informed Neural Networks for Power Systems

Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review

Fuzz4All: Universal Fuzzing with Large Language Models

Using Fast Weights to Attend to the Recent Past

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Graph-to-Sequence Learning using Gated Graph Neural Networks

Rethinking Vision Transformers for MobileNet Size and Speed

Continuous Inverse Optimal Control with Locally Optimal Examples

Differentially Private Learning Needs Better Features (or Much More Data)

Asymptotically Exact, Embarrassingly Parallel MCMC

Neural Radiance Flow for 4D View Synthesis and Video Processing

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Sobolev Training for Neural Networks

Deep learning: a statistical viewpoint

On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

WikiHow: A Large Scale Text Summarization Dataset

What graph neural networks cannot learn: depth vs width

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning

An exact mapping between the Variational Renormalization Group and Deep Learning

ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data

Dual Discriminator Generative Adversarial Nets

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

Label-Free Concept Bottleneck Models

Discovering Discrete Latent Topics with Neural Variational Inference

Physics informed deep learning for computational elastodynamics without labeled data

Machine Learning on Graphs: A Model and Comprehensive Taxonomy

An introduction to domain adaptation and transfer learning

Detecting and Preventing Hallucinations in Large Vision Language Models

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

Robustness via curvature regularization, and vice versa

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

Evaluating Large Language Models at Evaluating Instruction Following

Transolver: A Fast Transformer Solver for PDEs on General Geometries

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments

Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Understanding the Acceleration Phenomenon via High-Resolution Differential Equations

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Neural Networks with Few Multiplications

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Learning Robust Representations via Multi-View Information Bottleneck

Underdamped Langevin MCMC: A non-asymptotic analysis

Learning without Concentration

Learning Sparse Nonparametric DAGs

First-order Methods for Geodesically Convex Optimization